Federated Learning via Input-Output Collaborative Distillation

22 December 2023

Ziyan Wu

Papers citing "Federated Learning via Input-Output Collaborative Distillation"

29 / 29 papers shown

Title
Soft-Label Caching and Sharpening for Communication-Efficient Federated Distillation Kitsuya Azuma Takayuki Nishio Yuichi Kitagawa Wakako Nakano Takahito Tanimura FedML 158 0 0 28 Apr 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis Luyuan Xie Tianyu Luan Wenyuan Cai Guochen Yan Zhaoyu Chen Nan Xi Yuejian Fang Qingni Shen Zhonghai Wu Junsong Yuan FedML 257 0 0 13 Mar 2025
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation Xuan Gong Abhishek Sharma Srikrishna Karanam Ziyan Wu Terrence Chen David Doermann Arun Innanje FedML 63 71 0 10 Sep 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 78 265 0 17 Mar 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 270 30,123 0 01 Mar 2022
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang Yifan Bao Mingli Song Xinchao Wang Don Xie Chengchao Shen Xiuming Zhang 66 44 0 27 Oct 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Wu Xiaoyong Yuan FedML 57 48 0 08 Sep 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 77 658 0 20 May 2021
Multi-institutional Collaborations for Improving Deep Learning-based Magnetic Resonance Image Reconstruction Using Federated Learning Pengfei Guo Puyang Wang Jinyuan Zhou Shanshan Jiang Vishal M. Patel FedML OOD 72 145 0 03 Mar 2021
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen Tribhuvanesh Orekondy Mario Fritz SyDa 54 185 0 15 Jun 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data Qi Chang Hui Qu Yikai Zhang M. Sabuncu Chao Chen Tong Zhang Dimitris N. Metaxas MedIm 70 79 0 29 May 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 100 1,223 0 31 Mar 2020
Federated Visual Classification with Real-World Data Distribution T. Hsu Qi Matthew Brown FedML 116 201 0 18 Mar 2020
DP-CGAN: Differentially Private Synthetic Data and Label Generation Reihaneh Torkzadehmahani Peter Kairouz B. Paten SyDa 69 236 0 27 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 72 285 0 06 Jan 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 75 168 0 24 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 66 565 0 18 Dec 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 65 346 0 14 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 88 854 0 08 Oct 2019
Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification T. Hsu Qi Matthew Brown FedML 138 1,148 0 13 Sep 2019
Zero-Shot Knowledge Distillation in Deep Networks Gaurav Kumar Nayak Konda Reddy Mopuri Vaisakh Shaj R. Venkatesh Babu Anirban Chakraborty 75 245 0 20 May 2019
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI Jure Zbontar Florian Knoll Anuroop Sriram Tullie Murrell Zhengnan Huang ... Erich Owens C. L. Zitnick M. Recht D. Sodickson Yvonne W. Lui OOD 65 843 0 21 Nov 2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 133 1,633 0 05 Nov 2018
Methods for Segmentation and Classification of Digital Microscopy Tissue Images Q. Vu S. Graham Minh-Son To Muhammad Shaban Talha Qaiser ... Tianhao Zhao Rajarsi R. Gupta J. T. Kwak Nasir M. Rajpoot Joel H. Saltz 87 273 0 31 Oct 2018
DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation Hao Chen Xiaojuan Qi Lequan Yu Pheng-Ann Heng MedIm 67 581 0 10 Apr 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 234 10,247 0 27 Mar 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,247 0 23 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 397 17,468 0 17 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 250 14,008 0 19 Nov 2015